PMAT2: An efficient graphical assembly toolkit for comprehensive organellar genomes
Fuchuan Han, Changwei Bi, Yicun Chen, Xiaogang Dai, Zefu Wang, Huaitong Wu, Ning Sun, Yanshu Qu, Yang Yang, Yangdong Wang, Tongming Yin
Abstract
We developed PMAT2, an advanced toolkit for lineage-specific de novo assembly of plant, animal, and fungal mitochondrial genomes, as well as plant chloroplast genome. PMAT2 leverages optimized graph-based strategies tailored to organelle genome complexity, enabling complete and accurate assemblies, even with approximately 1 × highly accurate PacBio high-fidelity (HiFi) reads. By assembling 150 organellar genomes across diverse lineages, PMAT2 outperformed existing tools in assembly completeness. The source code for PMAT2 is publicly available at https://github.com/aiPGAB/PMAT2.
Topics & Concepts
Computer scienceGenomeComputational biologyTheoretical computer scienceBiologyGeneticsGeneRNA and protein synthesis mechanismsGenomics and Phylogenetic StudiesMachine Learning in Bioinformatics